%A CAO Min-zi, ZHANG Lin-lin, BI Xue-hua, ZHAO Kai
%T Personalized (α,l)-diversity k-anonymity Model for Privacy Preservation
%0 Journal Article
%D 2018
%J Computer Science
%R 10.11896/j.issn.1002-137X.2018.11.028
%P 180-186
%V 45
%N 11
%U {https://www.jsjkx.com/CN/abstract/article_17854.shtml}
%8
%X Aiming at the problem that traditional privacy preservation model is lack of considering the personalized anonymity,this paper analyzed the existing two personalized anonymity mechanisms.On the basis of k-anonymity and l-diversity model,a personalized (α,l)-diversity k-anonymity model was proposed to solve the existing problems.In the proposed model,the sensitive attribute values are divided into several categories according to their sensitivities,eachcate-gory is assigned with corresponding constraints,and the personalized privacy preservation is provided for specific individuals.The experimental results show that the proposed model can provide stronger privacy preservation while supp-lying personalized service efficiently.